Reference Hub10
Analysis of Speech Imagery using Functional and Effective EEG based Brain Connectivity Parameters

Analysis of Speech Imagery using Functional and Effective EEG based Brain Connectivity Parameters

Sandhya Chengaiyan, Kavitha Anandhan
Copyright: © 2015 |Volume: 9 |Issue: 4 |Pages: 16
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781466676343|DOI: 10.4018/IJCINI.2015100103
Cite Article Cite Article

MLA

Chengaiyan, Sandhya, and Kavitha Anandhan. "Analysis of Speech Imagery using Functional and Effective EEG based Brain Connectivity Parameters." IJCINI vol.9, no.4 2015: pp.33-48. http://doi.org/10.4018/IJCINI.2015100103

APA

Chengaiyan, S. & Anandhan, K. (2015). Analysis of Speech Imagery using Functional and Effective EEG based Brain Connectivity Parameters. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 9(4), 33-48. http://doi.org/10.4018/IJCINI.2015100103

Chicago

Chengaiyan, Sandhya, and Kavitha Anandhan. "Analysis of Speech Imagery using Functional and Effective EEG based Brain Connectivity Parameters," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 9, no.4: 33-48. http://doi.org/10.4018/IJCINI.2015100103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Speech imagery is a form of mental imagery which refers to the activity of talking to oneself in silence. In this paper, EEG coherence, a functional connectivity parameter is calculated to analyze the concurrence of the different regions of the brain and Effective connectivity parameters such as Partial Directed Coherence (PDC), Directed Transfer Function (DTF) and Information theory based parameter Transfer Entropy (TE) are estimated to find the direction and strength of the connectivity patterns of the given speech imagery task. It has been observed from the results that by using functional and effective connectivity parameters the left frontal lobe electrodes was found to be high during speech production and left temporal lobe electrodes was found to be high while imagining the word silently in the brain due to the proximity of the electrodes to the Broca's and Wernicke's area respectively. The results suggest that the proposed methodology is a promising non-invasive approach to study directional connectivity in the brain between mutually interconnected neural populations.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.